AI
Penpot’s practical guide to multi-directional AI workflows
Learn about practical use cases for design to code, code to design, and design to docs AI workflows with Penpot MCP.
AI
Designing with AI: Why Claude Design is not the future of enterprise design
Claude Design promises faster UI generation, but is it enough for enterprise teams? Learn what it does well, where it falls short, and what to look for in AI design tools.
AI
Data Sovereignty and AI: Managing Risk in Product Workflows
AI is reshaping data sovereignty. Learn how AI-powered design and development tools create new risks, and how to build a sovereignty-first product stack.
AI
Penpot AI workflows explained
What AI workflows are, how Penpot MCP connects your files to agents, and when they’re worth using on real product work.
AI
Set up Penpot MCP with Cursor in 5 steps and no code
The fastest and simplest way to get started with Penpot and AI workflows from scratch. Learn how to get started with Penpot and Cursor, a code editor with an integrated AI client.
AI
Set up Penpot MCP with OpenRouter and OpenCode in 6 steps
One of the fastest ways to set up Penpot for AI workflows in just 6 steps, no coding required, and only using free, open, and/or low-cost tools.
AI
How to make your prompts more efficient
The following “token-aware” approach treats prompts like structured contracts instead of a wish-list or diary, so you get better outputs in fewer iterations (and with fewer prompt credits).
AI
The designer's guide to effective AI prompting
Learn how to write structured, token‑aware AI prompts in Penpot so you get cleaner design systems, fewer hallucinations, and faster, production‑ready outputs.
Penpot
Penpot's AI whitepaper
This piece explains some of Penpot's relevant findings around AI and UI Design, what we’re building (and why) and what you should expect from us in the future.